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We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.

About the Role: You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What Youll Do::
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are looking for a Senior Frontend Developer to join our AI Frontend Infrastructure team.As a senior engineer, you'll be responsible for shaping the technical direction of our frontend-AI infrastructure, ensuring it is scalable, reliable, and developer-friendly. You'll work closely with AI engineers, product teams, and design to create robust abstractions, shared libraries and solutions that allow AI features to be integrated seamlessly into our applications.
Build and maintain frontend infrastructure: Develop and evolve core frameworks, shared libraries, and design system integrations to support AI-driven features across products.
Optimize for performance and scalability: Ensure frontend systems can handle high-frequency AI interactions (real-time rendering, streaming responses, data visualization, etc.) without compromising usability.
Abstract complexity: Design developer-friendly APIs, components, and tooling that make it easy for product teams to consume AI services.
Collaborate across teams: Partner with AI/ML engineers, infra teams, and product designers to integrate AI capabilities into user experiences.Drive best practices: Mentor engineers, improve coding standards, testing strategies, and CI/CD workflows for frontend development.
Explore and experiment: Stay ahead of emerging frontend and AI technologies, evaluating frameworks, libraries, and approaches that could benefit the organization.
What You'll Get to Do
Shape the foundation of how AI is experienced in our product.
Work on challenging technical problems where performance, scalability, and usability matter.
Influence the frontend architecture roadmap and contribute to company-wide engineering standards.
Be part of a team that values experimentation, developer experience, and shipping impactful infrastructure.

Come and be you with us
Being a worker is all about being you. We want you to bring all parts of yourself to work. giving you the freedom and confidence to be the best you and do your best work.
were waiting with open arms. Come join us.
About the Team
The AI team at our company is at the forefront of integrating cutting-edge AI technologies into our product, delivering features that enhance user experience, empower decision-making, and drive business insights.
We work in a true continuous delivery environment, with fully automated QA processes and a modern microservices architecture deploying to
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into our companys core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

A global leader in hybrid cloud security. We bring a new approach that uses the attackers perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems.
We are seeking a highly skilled and motivated backend Engineer with a Generative AI orientation to join our Infra team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities across our product line. This platform will handle cross-team concerns, such as prompt management, model access, data filtering, logging, and monitoring, centrally, so individual teams can focus on their own business-specific logic. As a backend Engineer with a Generative AI orientation, you will be instrumental in designing, developing, and implementing the core services of this foundational AI Platform. You will build components that enable our development teams to quickly innovate with AI while adhering to high standards for quality, cost-effectiveness, and compliance. Responsibilities:
* Develop and maintain a centralized microservice that handles all AI model interactions.
* Build shared services and libraries to maximize development speed and cost-efficiency for AI based features/systems across the company
* Setting the tone in the fields of automatic testing strategies and CI/CD for AI components, prompt management, and more.
* Define and enforce best practices for model governance, security, and compliance.

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

We are looking for a unique, hands-on Machine Learning / AI Developer to design and implement AI-powered solutions that improve business processes across the company. This role focuses on delivering custom-built tools and workflows that off-the-shelf products cannot provide, working closely with multiple departments such as Customer Success, Sales, HR, and more.

Responsibilities:

Collaborate with stakeholders across global teams to identify opportunities where AI can enhance business processes.
Design, develop, and deploy AI-based solutions tailored to organizational needs (e.g., customer success agents, HR process automation, sales optimization).
Build workflows, agents, and ML pipelines, ensuring solutions are production ready.
Integrate diverse data sources and leverage multiple data types to create actionable insights.
Work closely with business units' management to address specific operational challenges.

About the Role We are building an AI-driven future at our company, and we need an exceptional AI Engineer to join our new AI Department. This is a unique opportunity to work in a startup environment within a growing company, where youll take ownership of AI and ML initiatives, build cutting-edge solutions, and influence the direction of our AI products. The role has strong leadership potential and is suited for individuals who are passionate about solving complex problems and making a real impact. What Youll Do
* Research, design, and implement LLM-based products and infrastructure.
* Collaborate with data scientists, data engineers, product teams, and backend engineers to integrate AI solutions into products.
* Take full ownership of AI engineering pipelines from experimentation to production.
* Utilize cloud-based AI deployment strategies, particularly within AWS.
* Develop and maintain high-quality, scalable, and efficient code.

Harmony SASE is building the next generation of secure access services enabling organizations to connect users, sites, and applications safely and seamlessly from anywhere.
As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.
Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.
Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.

We are looking for an experienced Senior Backend Engineer to join our SaaS platform team.
As part of our platform team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of our companys SaaS security architecture.
Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.
If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.
Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

The AI Transformation Architect plays a central role in driving our companys enterprise-wide AI transformation. Reporting to the VP of AI Transformation, this role defines and builds the technical and architectural foundations that power our AI-driven software organization.
The Architect leads the design and implementation of scalable Generative AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives
Accelerate AI Transformation across the SDLC by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.